from utils.operators.spark_sql_operator import SparkSqlOperator
from datetime import timedelta
# 配置所依赖的表所处的[任务名字]及[任务所在包的位置]
from jms.dwd import jms_dwd__dwd_tms_trunk_operation_detail
from jms.dwd import jms_dwd__dwd_barscan_difficult_dt
from jms.ods import jms_ods__tab_reback_transfer_express
from jms.ods import jms_ods__yl_oms_interceptorpiece



jms_dwd__dwd_tms_trunk_operation_summary = SparkSqlOperator(
    task_id='jms_dwd__dwd_tms_trunk_operation_summary',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['yushuo@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dwd__dwd_tms_trunk_operation_summary_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dwd/dwd_tms_trunk_operation_summary/execute.hql',
    driver_memory='2G',
    driver_cores=2,
    executor_cores=2,
    executor_memory='2G',
    num_executors=10,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 30,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead': '1G',  # 堆外内存
          'spark.sql.shuffle.partitions': 10,
          'spark.default.paralleism': 1200,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.network.timeout': 900,
          'spark.core.connection.ack.wait.timeout': 300,
          'spark.sql.autoBroadcastJoinThreshold': 10485760,
          'spark.sql.adaptive.enabled' : 'true',
          'spark.sql.adaptive.shuffle.targetPostShuffleInputSize': 128000000,
          },
    hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions': 20,  # 每天生成 20 个分区
              'hive.exec.max.dynamic.partitions.pernode': 20,  # 每天生成 20 个分区
              'hive.merge.mapredfiles':'true',
              'hive.merge.mapfiles':'true',
              'hive.merge.size.per.task': 128000000,
              "hive.merge.smallfiles.avgsize":128000000,
              },
    yarn_queue='pro',
)

# 设置依赖
jms_dwd__dwd_tms_trunk_operation_summary << [
    jms_dwd__dwd_tms_trunk_operation_detail,
    jms_dwd__dwd_barscan_difficult_dt,
    jms_ods__tab_reback_transfer_express,
    jms_ods__yl_oms_interceptorpiece
]